WEKA

WEKA Unveils Powerful AI-Native Data Platform Appliance for NVIDIA DGX SuperPOD with NVIDIA DGX H100 Systems

Retrieved on: 
Monday, March 18, 2024
Certification, Organization, GPU, Global warming potential, AI, Overalls, DGX, Carbon, Data management, NVIDIA, WEKA

CAMPBELL, Calif., March 18, 2024 /PRNewswire/ -- From NVIDIA GTC : WekaIO ( WEKA ), the AI-native data platform company, today unveiled WEKApod™: A powerful new data platform appliance certified for NVIDIA DGX SuperPOD™ with NVIDIA DGX H100 s ystems .

Key Points: 
  • CAMPBELL, Calif., March 18, 2024 /PRNewswire/ -- From NVIDIA GTC : WekaIO ( WEKA ), the AI-native data platform company, today unveiled WEKApod™: A powerful new data platform appliance certified for NVIDIA DGX SuperPOD™ with NVIDIA DGX H100 s ystems .
  • The WEKApod Data Platform Appliance offers an exceptional, highly performant data management foundation for NVIDIA DGX SuperPOD deployments – a single cluster can deliver up to 18,300,000 IOPs.
  • "WEKA is thrilled to achieve NVIDIA DGX SuperPOD certification and deliver a powerful new data platform option for enterprise AI customers," said Nilesh Patel, chief product officer at WEKA.
  • To learn more about the WEKApod Data Platform Appliance, certified for NVIDIA DGX SuperPOD, visit https://www.weka.io/wekapod .

WEKA Unveils Powerful AI-Native Data Platform Appliance for NVIDIA DGX SuperPOD with NVIDIA DGX H100 Systems

Retrieved on: 
Monday, March 18, 2024
Certification, Organization, GPU, Global warming potential, AI, Overalls, DGX, Carbon, Data management, NVIDIA, WEKA

CAMPBELL, Calif., March 18, 2024 /PRNewswire/ -- From NVIDIA GTC : WekaIO ( WEKA ), the AI-native data platform company, today unveiled WEKApod™: A powerful new data platform appliance certified for NVIDIA DGX SuperPOD™ with NVIDIA DGX H100 s ystems .

Key Points: 
  • CAMPBELL, Calif., March 18, 2024 /PRNewswire/ -- From NVIDIA GTC : WekaIO ( WEKA ), the AI-native data platform company, today unveiled WEKApod™: A powerful new data platform appliance certified for NVIDIA DGX SuperPOD™ with NVIDIA DGX H100 s ystems .
  • The WEKApod Data Platform Appliance offers an exceptional, highly performant data management foundation for NVIDIA DGX SuperPOD deployments – a single cluster can deliver up to 18,300,000 IOPs.
  • "WEKA is thrilled to achieve NVIDIA DGX SuperPOD certification and deliver a powerful new data platform option for enterprise AI customers," said Nilesh Patel, chief product officer at WEKA.
  • To learn more about the WEKApod Data Platform Appliance, certified for NVIDIA DGX SuperPOD, visit https://www.weka.io/wekapod .

SQream to Showcase its Groundbreaking SQL on GPU Analytics Acceleration Platform at NVIDIA GTC

Retrieved on: 
Friday, March 15, 2024
GTC, Organization, Conference, GPU, SQL, Data science, Deep learning super sampling, AI, TPC, Hitachi, Bill shock, NVIDIA, WEKA, Video game

NEW YORK, March 15, 2024 /PRNewswire/ -- SQream, a leading provider of scalable, GPU-accelerated data analytics software for large data sets and AI/ML workloads, today announced its participation in this year's NVIDIA GTC AI conference. At the event, SQream will showcase its innovative SQL on GPU processing capabilities, which are designed to manage and transform data processing at a scale ranging from terabytes to petabytes. This cutting-edge technology is set to revolutionize data analytics, AI and ML efficiencies across various sectors and applications.

Key Points: 
  • At the event, SQream will showcase its innovative SQL on GPU processing capabilities, which are designed to manage and transform data processing at a scale ranging from terabytes to petabytes.
  • This cutting-edge technology is set to revolutionize data analytics, AI and ML efficiencies across various sectors and applications.
  • We're excited to showcase at GTC this year and demonstrate how SQream empowers organizations to enhance performance without bill shock, thanks to our scalable SQL on GPU capabilities."
  • Join SQream at NVIDIA GTC AI Conference, at The Bowers Institute, on Tuesday, March 19th, at 3:00PM to experience the transformative power of their SQL on GPU scaling solution.

SQream to Showcase its Groundbreaking SQL on GPU Analytics Acceleration Platform at NVIDIA GTC

Retrieved on: 
Friday, March 15, 2024
GTC, Organization, Conference, GPU, SQL, Data science, Deep learning super sampling, AI, TPC, Hitachi, Bill shock, NVIDIA, WEKA, Video game

NEW YORK, March 15, 2024 /PRNewswire/ -- SQream, a leading provider of scalable, GPU-accelerated data analytics software for large data sets and AI/ML workloads, today announced its participation in this year's NVIDIA GTC AI conference. At the event, SQream will showcase its innovative SQL on GPU processing capabilities, which are designed to manage and transform data processing at a scale ranging from terabytes to petabytes. This cutting-edge technology is set to revolutionize data analytics, AI and ML efficiencies across various sectors and applications.

Key Points: 
  • At the event, SQream will showcase its innovative SQL on GPU processing capabilities, which are designed to manage and transform data processing at a scale ranging from terabytes to petabytes.
  • This cutting-edge technology is set to revolutionize data analytics, AI and ML efficiencies across various sectors and applications.
  • We're excited to showcase at GTC this year and demonstrate how SQream empowers organizations to enhance performance without bill shock, thanks to our scalable SQL on GPU capabilities."
  • Join SQream at NVIDIA GTC AI Conference, at The Bowers Institute, on Tuesday, March 19th, at 3:00PM to experience the transformative power of their SQL on GPU scaling solution.

Jeff Echols Honored as a 2024 CRN Channel Chief

Retrieved on: 
Monday, February 5, 2024
Cloud, AI, WEKA, CRN, The Channel Company, Channel, Video game

CAMPBELL, Calif., Feb. 5, 2024 /PRNewswire/ -- WekaIO ( WEKA ), the AI-native data platform company, announced that Jeff Echols has been named a 2024 CRN® Channel Chief by CRN ®, a brand of The Channel Company .

Key Points: 
  • CAMPBELL, Calif., Feb. 5, 2024 /PRNewswire/ -- WekaIO ( WEKA ), the AI-native data platform company, announced that Jeff Echols has been named a 2024 CRN® Channel Chief by CRN ®, a brand of The Channel Company .
  • Jeff Echols, VP of Channel & Strategic Partnerships at WEKA, recognized for his commitment to fostering partner success.
  • "Hearty congratulations are in order to Jeff Echols on being named a 2024 CRN Channel Chief.
  • CRN's 2024 Channel Chiefs list will be featured in the February 2024 issue of CRN® Magazine.

WEKA Partners With NexGen Cloud to Democratize AI

Retrieved on: 
Wednesday, January 31, 2024
Cloud, NexGen, Traction, Graphics processing unit, S&P Global, AI, GPU, Environment, WEKA, Organization, Algorithm, Software, Video game

CAMPBELL, Calif., Jan. 31, 2024 /PRNewswire/ -- WekaIO (WEKA), the AI-native data platform company, announced today that it is partnering with NexGen Cloud, a sustainable infrastructure-as-a-service provider based in the UK, to provide the high-performance infrastructure foundation underpinning its forthcoming AI Supercloud, as well as the on-demand services offered by Hyperstack, NexGen Cloud's GPUaaS platform.

Key Points: 
  • WEKA is helping NexGen Cloud power its high-performance AI Supercloud to advance the next wave of AI innovation.
  • "1
    Built on the latest state-of-the-art GPU hardware from NVIDIA, NexGen Cloud's AI Supercloud service will provide an affordable, on-demand, compute-intensive solution for enterprises, research organizations, and governments innovating at the intersection of cloud and AI.
  • "GPU cloud providers like NexGen Cloud will play a critical role in accelerating the next wave of AI innovation," said Jonathan Martin, president at WEKA.
  • Learn more about NexGen Cloud's GPU cloud offerings powered by the WEKA Data Platform: https://www.nexgencloud.com/ .

WEKA Partners With NexGen Cloud to Democratise AI

Retrieved on: 
Wednesday, January 31, 2024
Cloud, NexGen, Traction, Graphics processing unit, S&P Global, AI, GPU, Environment, WEKA, Organization, Algorithm, Software, Video game

CAMPBELL, Calif., Jan. 31, 2024 /PRNewswire/ -- WekaIO (WEKA), the AI-native data platform company, announced today that it is partnering with NexGen Cloud, a sustainable infrastructure-as-a-service provider based in the UK, to provide the high-performance infrastructure foundation underpinning its forthcoming AI Supercloud, as well as the on-demand services offered by Hyperstack, NexGen Cloud's GPUaaS platform.

Key Points: 
  • At the same time, demand for public cloud resources is exceeding available resources, leaving many companies without a viable solution for AI initiatives.
  • "1
    Built on the latest state-of-the-art GPU hardware from NVIDIA, NexGen Cloud's AI Supercloud service will provide an affordable, on-demand, compute-intensive solution for enterprises, research organizations, and governments innovating at the intersection of cloud and AI.
  • "GPU cloud providers like NexGen Cloud will play a critical role in accelerating the next wave of AI innovation," said Jonathan Martin, president at WEKA.
  • Learn more about NexGen Cloud's GPU cloud offerings powered by the WEKA Data Platform: https://www.weka.io/nexgencloud/ .

WEKA Partners With NexGen Cloud to Democratize AI

Retrieved on: 
Wednesday, January 31, 2024
Cloud, NexGen, Traction, Graphics processing unit, S&P Global, AI, GPU, Environment, WEKA, Organization, Algorithm, Software, Video game

CAMPBELL, Calif., Jan. 31, 2024 /PRNewswire/ -- WekaIO (WEKA), the AI-native data platform company, announced today that it is partnering with NexGen Cloud, a sustainable infrastructure-as-a-service provider based in the UK, to provide the high-performance infrastructure foundation underpinning its forthcoming AI Supercloud, as well as the on-demand services offered by Hyperstack, NexGen Cloud's GPUaaS platform.

Key Points: 
  • Innovative vendors like NexGen Cloud are now scaling their considerable resources to support the surge in demand for data infrastructure services that can support large-scale AI model training and inference workloads.
  • "1
    Built on the latest state-of-the-art GPU hardware from NVIDIA, NexGen Cloud's AI Supercloud service will provide an affordable, on-demand, compute-intensive solution for enterprises, research organizations, and governments innovating at the intersection of cloud and AI.
  • "GPU cloud providers like NexGen Cloud will play a critical role in accelerating the next wave of AI innovation," said Jonathan Martin, president at WEKA.
  • Learn more about NexGen Cloud's GPU cloud offerings powered by the WEKA Data Platform: https://www.weka.io/nexgencloud/ .

Supermicro Introduces a Rack Scale Total Solution for AI Storage to Accelerate Data Pipelines for High-Performance AI Training and Inference

Retrieved on: 
Thursday, January 25, 2024
Cloud, WEKA, PCI Express, PB, Total, MLOps, GPU, SAN, TB, AI, Data collection, Graphics processing unit, AMD, NVM Express, TCO, Computation, Organization, IOPS, NVIDIA, Intel, Video game

SAN JOSE, Calif., Jan. 25, 2024 /PRNewswire/ -- Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Manufacturer for AI, Cloud, Storage, and 5G/Edge, is launching full stack optimized storage solution for AI and ML data pipelines from data collection to high performance data delivery. This new solution maximizes AI time-to-value by keeping GPU data pipelines fully saturated. For AI training, massive amounts of raw data at petascale capacities can be collected, transformed, and loaded into an organization's AI workflow pipeline. This multi-tiered Supermicro solution has been proven to deliver multi-petabyte data for AIOps and MLOps in production environments. The entire multi-rack scale solution from Supermicro is designed to reduce implementation risks, enable organizations to train models faster, and quickly use the resulting data for AI inference.

Key Points: 
  • SAN JOSE, Calif., Jan. 25, 2024 /PRNewswire/ -- Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Manufacturer for AI, Cloud, Storage, and 5G/Edge, is launching full stack optimized storage solution for AI and ML data pipelines from data collection to high performance data delivery.
  • For AI training, massive amounts of raw data at petascale capacities can be collected, transformed, and loaded into an organization's AI workflow pipeline.
  • The entire multi-rack scale solution from Supermicro is designed to reduce implementation risks, enable organizations to train models faster, and quickly use the resulting data for AI inference.
  • Our new storage solution for AI training enables customers to maximize the usage of our most advanced rack scale solutions of GPU servers, reducing their TCO and increasing AI performance."

Supermicro Introduces a Rack Scale Total Solution for AI Storage to Accelerate Data Pipelines for High-Performance AI Training and Inference

Retrieved on: 
Thursday, January 25, 2024
Cloud, WEKA, PCI Express, PB, Total, MLOps, GPU, SAN, TB, AI, Data collection, Graphics processing unit, AMD, NVM Express, TCO, Computation, Organization, IOPS, NVIDIA, Intel, Video game

SAN JOSE, Calif., Jan. 25, 2024 /PRNewswire/ -- Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Manufacturer for AI, Cloud, Storage, and 5G/Edge, is launching full stack optimized storage solution for AI and ML data pipelines from data collection to high performance data delivery. This new solution maximizes AI time-to-value by keeping GPU data pipelines fully saturated. For AI training, massive amounts of raw data at petascale capacities can be collected, transformed, and loaded into an organization's AI workflow pipeline. This multi-tiered Supermicro solution has been proven to deliver multi-petabyte data for AIOps and MLOps in production environments. The entire multi-rack scale solution from Supermicro is designed to reduce implementation risks, enable organizations to train models faster, and quickly use the resulting data for AI inference.

Key Points: 
  • SAN JOSE, Calif., Jan. 25, 2024 /PRNewswire/ -- Supermicro, Inc. (NASDAQ: SMCI), a Total IT Solution Manufacturer for AI, Cloud, Storage, and 5G/Edge, is launching full stack optimized storage solution for AI and ML data pipelines from data collection to high performance data delivery.
  • For AI training, massive amounts of raw data at petascale capacities can be collected, transformed, and loaded into an organization's AI workflow pipeline.
  • The entire multi-rack scale solution from Supermicro is designed to reduce implementation risks, enable organizations to train models faster, and quickly use the resulting data for AI inference.
  • Our new storage solution for AI training enables customers to maximize the usage of our most advanced rack scale solutions of GPU servers, reducing their TCO and increasing AI performance."